Stefano Cirillo

University of Salerno

Papers

1

Total Citations

41

H-Index

1

About

Stefano Cirillo is a computer scientist specializing in intelligent systems, big data analytics, and web information retrieval. His research focuses on developing scalable, autonomous solutions for extracting and processing vast amounts of online data. His most cited work, "An intelligent system for focused crawling from Big Data sources" (2021, 41 citations), introduces a novel framework that combines machine learning with focused crawling techniques to efficiently harvest relevant data from massive, heterogeneous web sources. This contribution addresses a critical bottleneck in big data pipelines by reducing noise and computational overhead, enabling more precise and adaptive data collection. Cirillo’s work has been recognized for its practical impact on fields such as semantic web mining and real-time data integration. Beyond this flagship paper, his broader portfolio explores the intersection of artificial intelligence and distributed systems, with applications in smart environments and knowledge discovery. With a growing citation footprint, Cirillo is establishing himself as a key voice in the evolution of intelligent data acquisition, offering tools that empower researchers and engineers to harness the full potential of big data.

Research Focus

Key Achievements

1
H-Index
1
Papers
41
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
An intelligent system for focused crawling from Big Data sources
41 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Salerno

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago